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We are currently seeking a POD BA/QA (Sr) to join our team in tbd, Andaman and Nicobar Islands (IN-AN), India (IN). As a data analyst you will have a strong background in data analysis, an ability to interpret complex datasets, and the skills to provide actionable insights. This role involves working closely with various departments to help drive data-informed decision-making processes.
Job Responsibility:
Extract, transform, and load (ETL) data from various sources, ensuring data quality, integrity, and accuracy
Perform data cleansing, validation, and preprocessing to prepare structured and unstructured data for analysis
Develop and execute queries, scripts, and data manipulation tasks using SQL, Python, or other relevant tools
Analyze large datasets to identify trends, patterns, and correlations, drawing meaningful conclusions that inform business decisions
Create clear and concise data visualizations, dashboards, and reports to communicate findings effectively to stakeholders
Collaborate with clients and cross-functional teams to gather and understand data requirements, translating them into actionable insights
Work closely with other departments to support their data needs
Collaborate with Data Scientists and other analysts to support predictive modeling, machine learning, and statistical analysis
Continuously monitor data quality and proactively identify anomalies or discrepancies, recommending corrective actions
Stay up-to-date with industry trends, emerging technologies, and best practices to enhance analytical techniques
Assist in the identification and implementation of process improvements to streamline data workflows and analysis
Requirements:
3 + years of proficiency in data analysis tools such as [Tools - e.g., Excel, SQL, R, Python]
3+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects
2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions
Undergraduate or Graduate degree preferred
Nice to have:
Strong proficiency in data analysis tools such as [Tools - e.g., Excel, SQL, R, Python]
Experience with data visualization tools like [Tools - e.g., Power BI,]
Experience with cloud data platforms such as [Platforms - e.g., AWS Redshift, Databricks]
Familiarity with ETL (Extract, Transform, Load) processes and tools
Knowledge of machine learning techniques and tools
Experience in a specific industry (e.g., financial services, healthcare, manufacturing) can be a plus
Understanding of data governance and data privacy regulations
Ability to query and manipulate databases and data warehouses
Excellent analytical and problem-solving skills
Strong communication skills with the ability to explain complex data insights to non-technical stakeholders